CN104541152B - Use the image normalization devices, systems, and methods of the Gauss residual error of fitting selection standard - Google Patents
Use the image normalization devices, systems, and methods of the Gauss residual error of fitting selection standard Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
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- G01N15/1012—Calibrating particle analysers; References therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1434—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its optical arrangement
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N15/14—Electro-optical investigation, e.g. flow cytometers
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Abstract
A kind of apparatus and method for image normalization have used the Gauss residual error of fitting selection standard.This method can include：The two dimensional image of multiple particles is obtained, wherein the multiple particle includes multiple calibration particles；By the way that calibration particle will be recognized corresponding to a part of image of the calibration particle is with a mathematical modeling (such as Gauss curve fitting) associated.Then the intensity of the measurement of the calibration particle can be used for the intensity of normalized image.
Description
The cross reference of related application
This application claims the rights and interests for the U.S. Provisional Application No. 61/660270 submitted on June 15th, 2012, it is by drawing
With being integrally incorporated here.
Background of invention
The field of the invention
The present invention relates to a kind of method and system for image real time transfer, relate more specifically to a kind of using fitting choosing
Select the devices, systems, and methods of the image normalization of the Gauss residual error of standard.
The description of association area
One in biotechnology applications is applied to using the imaging of detector (such as charge coupling device (CCD) detector)
In a little currently available devices.Many commercially available systems are configured as to target human (or other animals) cell imaging.For
The position and fluorescent emission that the cell in the multiple application of the fluorescent emission of cell, image is measured using ccd detector can use
In these cells of sign.
The content of the invention
The invention discloses a kind of method for normalized image.In one embodiment, this method includes obtaining many
The two dimensional image of individual particle, wherein the multiple particle includes multiple calibration particles.In addition, this method can include by will be right
Described in Ying Yu calibrate particle a part of image it is associated with a mathematical modeling come recognize calibrate particle the step of.In addition, should
Method can include the intensity for measuring the calibration particle, and the intensity of the intensity normalized image using the calibration particle.
In certain embodiments, the calibration particle is internally dyed.In certain embodiments, this method can also be wrapped
The multiple calibration particles of identification are included, wherein the multiple calibration particle is distributed in multiple regions of the two dimensional image.In addition,
This method can normalize the intensity in the multiple region using the intensity of the multiple calibration particle.
In certain embodiments, this method can normalize the multiple grain using the intensity of the calibration particle
The intensity of second two dimensional image of son.For example, second two dimensional image can be a classification chart picture.
In certain embodiments, the mathematical modeling can be Gauss mathematical modeling.In certain embodiments, the mathematical modeling
It can be quadratic equation mathematical modeling.
In certain embodiments, the peak value that the intensity of the calibration particle can include detecting the calibration particle is measured.
In addition, the intensity of the measurement calibration particle can include integrating the pericentral image-region of the calibration particle.
In certain embodiments, this method subtracts the back of the body before being included in identification calibration particle from the two dimensional image
Scape signal.
The invention also discloses tangible computer computer-readable recording medium.The tangible computer computer-readable recording medium can include instruction, its
When being performed by computer so that the computer performs method described herein.
Term " coupling " is defined as connection, although being not necessarily directly, and is not necessarily mechanically connected.
Term " one " and " one " be defined as it is one or more, unless the disclosure is clearly required in addition that.
Term " comprising ", " having " includes and " containing " is open link-verb.As a result, " comprising ", " having ",
"comprising" or " containing " one or more steps or a method or apparatus of element have one or more of steps or member
Part, but it is not limited to only these one or more elements.Similarly, " comprising ", " having ", "comprising" or " containing " one
Multiple features method the step of or the element of an equipment there are one or more of features, but be not limited to only described
One or more functions.In addition, the equipment or structure that configure in some way are at least configured by this way, but
It can configure in ways that are not listed.
Other features become by referring to the detailed description of following specific embodiment and with reference to accompanying drawing with related advantage
Obtain obviously.
Brief description of the drawings
The following drawings constitutes the part of this specification and is included to further demonstrate certain aspects of the invention.Pass through
Detailed description with reference to one or more of accompanying drawings and in conjunction with specific embodiments, the present invention can be better understood.
Fig. 1 is the flow chart of the one embodiment for representing the method for normalizing an image.
Fig. 2 is the three dimensional representation for the two dimensional image for calibrating particle.
Fig. 3 is the sectional view of the image of two particles.
Fig. 4 is representing for the two dimensional image that is divided into nine regions to be normalized.
Describe in detail
The non-limiting example for being illustrated in the accompanying drawings and being described in detail in the following description by referring to this, Ke Yigeng
It is fully described various features and favourable details.The description of known initiation material, treatment technology, part and equipment is saved
Slightly, in order to avoid unnecessarily obscuring the present invention in detail.Although it will be appreciated, however, that indicating embodiments of the invention, in detail
Description and specific example are provided simply by the mode of illustration rather than by way of limitation.According to disclosure,
Various replacements in the spirit and/or scope of basic inventive concept, modification, addition and/or rearrangement are for people in the art
It will become obvious for member.
Although there has been described the embodiment on particle, but it is to be understood that system and method described herein can also
For such as microballoon, polystyrene bead, particulate, golden nanometer particle, quantum dot, nano dot, nano-particle, nanoshell, ball, micro-
It is ball, latex particle, latex microsphere, fluorescent microsphere, fluorescent particles, colored particle, coloured pearl, tissue, cell, microorganism, organic
Thing or free of non-organic species.The particle may be used as the carrier of molecule reaction.The example of suitable particle is illustrated and described
In the 5 of Fulton, 736,330, Chandler et al. 5,981,180,6, the 057,107 of Fulton, Chandler et al.
6,268,222nd, 6,449,562, the 6,514,295 of Chandler et al., the 6 of Chandler et al. of Chandler et al.,
In the 6 of 524,793 and Chandler, 528,165 these United States Patent (USP)s, it is incorporated to by reference, just looks like herein
Illustrate completely.The text system and method are not limited, and can be used for any described particle in these patents.In addition,
The particle used in method and system embodiment described herein can be obtained from manufacturer, such as Texas it is difficult to understand this
Ting Shi Luminex companies.
In addition, the particle types mutually compatible with systems and methods described herein are attached to or connected including fluorescent material
To the particle of particle surface.The particle of these types, wherein fluorescent dye or fluorescent particles are coupled directly to the surface of particle
To provide classification fluorescence (being measured and be used for the fluorescent emission for determining the subset belonging to the identity or particle of particle), it is illustrated
And describe in the 6 of Chandler et al., the 6 of 268,222 and Chandler et al., 649,414 these United States Patent (USP)s, it passes through
The mode of reference is incorporated to, and just looks like to illustrate completely herein.The particle used in the method and system that can be described herein
Type also includes the particle with one or more fluorchromes or fluorescent dye for being attached to particle centre.For example, calibration grain
Son can internally equably be dyed.Calibration particle can internally be dyed with multiple dyestuffs in certain embodiments.
It can be further comprised with the particle used in method and system described herein exposed to one or more
The particle of one or more fluorescence signals itself is shown during suitable light source.In addition, particle can be manufactured so that
Particle performance goes out a variety of fluorescence signals when exciting, and wherein each can be used alone or be applied in combination to determine the body of particle
Part.As described below, image real time transfer may include the classification to particle, the particularly fluid for multiple analyte, and combine
The measure of the amount of analyte on to particle.The report signal of the amount for the analyte being attached to due to representative on particle is in the operation phase
Between be it is typically unknown, not only classification wavelength (or multiple classification wavelength) or wavelength band (or multiple wavelength bands) and report
The particle of the specific dyeing of wavelength or wavelength band emissions fluorescence is accused, can be used for approach described herein.
Method described herein generally includes to analyze one or more images of particle, and handles the number determined from image
One or more characteristics of the particle are determined according to this.For example, data processing can be used for determining to represent in the picture many
In individual region under multiple Detection wavelengths the fluorescent emission amplitude of the particle normalization numerical value.The one or more of the particle
Characteristic with post processing, for example determine to represent multiple subset belonging to the particle using one or more numerical value
Mark ID and/or expression are incorporated into presence and/or the report value of quantity of the analyte of particle surface, can be according in Fulton
5,736,330, the 5,981,180 of Chandler et al., the 6,449,562 of Chandler et al., the 6 of Chandler et al.,
524,793rd, described in the 6,939,720 of Chandler et al. 6,592,822 and Chandler et al. these United States Patent (USP)s
Method is carried out, and it is incorporated to by reference, just looks like to illustrate completely herein.
Following indicative flowchart is illustrated generally as logical flow chart.Therefore, the order and the step of mark described
Rapid one embodiment for representing methods described.It is contemplated that with the one or more steps or which part of shown method in work(
Suitable other steps and method in terms of energy, logic or effect.In addition, the form and symbol that use are used to explain this method
Logic step, and should not be construed as limiting the scope of this method.Although various arrow types and line can be used in flow charts
Type, they are understood to not limit the scope of correlation method.In fact, some arrows or other connectors can be used for only
Indicate the logic flow of this method.For example, arrow may indicate that nonspecific duration between the enumerated steps of methods described etc.
Treat or the monitoring cycle.In addition, the order that ad hoc approach occurs may or may not strictly observe shown corresponding steps.
Fig. 1 represents a kind of side of the image normalization of mathematical modeling (for example, Gauss) residual error using fitting selection standard
The embodiment of method 100.In one embodiment, this method 100 starts from obtaining the step 102 of the two dimensional image of multiple particles.
The image is obtained using such as ccd sensor.In certain embodiments, multiple images can be obtained.For example, two can be obtained
Individual classification channel (channel) image and a report image.The multiple particle can include multiple calibration particles.Calibrate grain
Son can be, for example, triple staining particle.Dyestuff can be evenly distributed in these calibration particles, so when calibration particle quilt
Excitation source can produce equally distributed fluorescence when irradiating in reporting channel.In certain embodiments, all particle (calibration grains
Son and measure particle) have equally distributed fluorescence in classification channel.However, only calibration particle can have in reporting channel
There is equally distributed fluorescence.Spherical due to particle, equally distributed fluorescence may be produced in the image corresponding to the particle
The Gaussian Profile of the third contact of a total solar or lunar eclipse.
Step 104 represent by will corresponding to it is described calibration particle image a part it is associated with a mathematical formulae
To recognize calibration particle.The step potentially includes some subconstiuents (sub-component).For example, this method can be first
Including subtracting background signal from the image, then detection is corresponding to the peak value in the image of single particle.Once the position of particle
It is known to put, and this method may include to perform numerical fitting to the image pixel around the peak that detects.In one embodiment,
The numerical fitting can be the Gauss curve fitting of following equalities form：
The fit procedure determines to be best suitable for the parameter a and b of the particle picture.Fitting can be with subpixel resolution
(such as by interpolated pixel) is realized, to increase the resolution ratio for the image for being used to perform fitting.The residual error of fitting is measurable, and
And if residual error is more than predetermined value (tolerance), particle may be rejected not to be calibration particle.Due to internally being dyed, school
Quasi particle can have Gaussian Profile.On the contrary, may not may have Gauss by the measure particle with fluorescence only on particle surface
Distribution.So, calibration particle can be recognized by Gaussian Profile.Although the distribution of calibration particle is generally described as Gauss point
Cloth, in certain embodiments, the mathematical formulae for performing the fitting can be such as quadratic equation.In testing calibration particle
When, different formula may reduce the processing determined needed for fitting using low precision as cost.In addition, in practice, adding
The step of (such as give up outlier particle) and can be used for the performance of raising system.
Method 100 also includes the step 106 for measuring the intensity of the calibration particle.The intensity of the particle can be by surveying
The peak value of amount measured signal is measured, or it can be by the way that the pixel in the range of the certain radius of surveyed peak value be accumulated
Divide to measure.In addition, the intensity can be by determining the sub-pixel image (such as by interpolation), then of the particle first
Sub-pixel image around particle peak is integrated to determine.
Some parameters of the calibration particle are known.For example, calibration particle can have the known chi determined during fabrication
The quantity of very little and fluorescent material.For example, the quantity of the different dyes for manufacturing calibration particle can be carefully controlled to ensure
The dose known amounts of fluorescence and it is uniformly distributed.
Method 100 normalizes the step 108 of two dimensional image also including the use of the intensity of the calibration particle.Because described
The desired amount for calibrating the fluorescence of particle is known, can use fluorescence volume to normalize the measured quantity of fluorescence intensity.In addition, should
Process can be recycled and reused for being distributed in multiple calibration particles in whole two dimensional image to normalize the different zones of described image.
Because calibration particle can replace with determining particle, described image can be normalized, without obtaining only individually with calibration particle
Vertical image.It therefore, it can improve disposal ability while the normalized intensity of multiple images is kept.Image intensity uniformity
Shortage is probably that lens are uneven by the uneven of such as light source, or caused by the motion of imaging plane.Method described herein
Multiple reasons of non-homogeneous photo measure can simultaneously be normalized.
When the multiple images of same group of particle of acquisition, the normalization of image intensity can be used.It is for instance possible to obtain classification
An image in two independent images and reporting channel of channel.Calibration particle may be displayed on all three images, and
It can be used for normalizing all three images.
Fig. 2 describes a part for two dimensional image, wherein the intensity of the measurement light 202 from particle is displayed in z-axis.
In this case, the measurement light 202 is Gaussian Profile in form.The information can be used for particle being defined as above
Described calibration particle.
Fig. 3 shows the example plot of two kinds of different particles.Curve 302 corresponds to a Gaussian curve.By the way that curve is intended
Gauss curve fitting is combined into, the particle that its image corresponds to curve 302 can be identified as calibrating particle.In contrast, the correspondence of curve 304
Particle (non-calibrated particle) is determined in one.In this example, the fluorescence detected may be from being distributed on particle surface
Material.So, the distribution of light is not Gaussian Profile, and particle is identified as not being calibration particle.These curves correspond to Fig. 2 institutes
The cross section of diagram picture.
Fig. 4 shows how calibration particle 420 is used for the example of normalized image.In this example, image 400 is drawn
It is divided into nine regions (402,404,406,408,410,412,414,416, and 418).There are one or more calibrations in each region
Particle 420.As described above, according in method described herein, calibration particle can be defined as school by its image outline first
Quasi particle.After calibration particle is identified, the intensity of calibration particle 420 can be measured as described above.Measured intensity is then
Measurement available for non-calibrated particle (not shown) in normalized image 400.By such as illumination unevenness, lens aberration or biography
The difference for the image intensity that sensor defect is introduced, can be compensated by this normalization.Although the example in Fig. 4 is shown
The image in nine regions is divided into, the separation may diminish to 1 (whole image is equably normalized), or can also be
Unlimited.In the latter case, one can be built and represent the normalized mathematical formulae.The reason for merely for explaining,
Represent the normalized mathematical formulae and can be similar to how a normalized amount of display applies change with the position on image
Topographic map.
Although the embodiments described herein is on particle, but it is to be understood that system and method described herein can also
For microballoon, polystyrene bead, particulate, golden nanometer particle, quantum dot, nano dot, nano-particle, nanoshell, pearl, microballon, glue
Milk particle, latex beads, fluorescent bead, fluorescent particles, colored particle, coloured pearl, tissue, cell, microorganism, organic matter, non-organic
Thing or the material of any other separation as known in the art.The particle may be used as the carrier of molecule reaction.Suitable particles
Example be illustrated and describe Fulton 5,736,330, the 5,981,180 of Chandler et al., Fulton 6,057,
107th, Chandler et al. 6,268,222, the 6,449,562 of Chandler et al., Chandler et al. 6,514,295,
In the 6 of Chandler et al., the 6 of 524,793 and Chandler et al., 528,165 these United States Patent (USP)s, it passes through the side of reference
Formula is incorporated to, and just looks like to illustrate completely herein.System and method described herein can be used for any described by these patents
Particle.In addition, the particle used in method and system embodiment described herein can be obtained from manufacturer, such as get Ke Sa
The Luminex companies in this state Austin city.Term " particle " and " microballoon " are used interchangeably herein.
Some embodiments include tangible computer-readable medium, including computer-readable code, when by computer
Computer is set to perform at least one embodiment of methods described during execution.The tangible computer computer-readable recording medium can be such as CD-
ROM, DVD-ROM, flash drive, hard disk drive or any other physical storage device.
Tangible computer computer-readable recording medium has been made in certain methods.In certain embodiments, this method can be included in
Computer-readable code is write in computer-readable medium, it causes the computer to perform the side when executed by a computer
At least one embodiment of method.Write-in computer-readable medium can include, for example, burning data is to CD-ROM or DVD-ROM,
Or otherwise provide data to physical storage device.
According to disclosure of that, it is not necessary to which excessive experiment just can complete and perform disclosed herein and opinion all
Method.Although the apparatus and method of the present invention are described in the way of preferred embodiment, it is apparent that the technology of this area
The step of personnel can change methods described and step or methods described order, without departing from idea of the invention, spirit and model
Enclose.For example, for recognizing that the fitting of calibration particle is described as preferably Gauss curve fitting.In the spirit of the disclosed embodiments
Within, other Mathematical Fittings can also be used.Furthermore, it is possible to disclosed device is modified, and part can be taken
Disappear or replace part described here, wherein same or analogous result can be realized.To those skilled in the art, own
These similar alternatives and modifications are considered as the scope of the present invention spirit limited in appended claims, scope and concept
Within.
Claims (22)
1. a kind of method for image normalization, including：
The two dimensional image of multiple particles is obtained in the first channel, wherein the multiple particle includes multiple calibration particles and multiple
Non-calibrated particle, the multiple calibration particle is with the inside distribution based on the first fluorescent material in first channel
Gaussian intensity profile, the multiple non-calibrated particle have the surface distributed based on the second fluorescent material in first channel
In non-gaussian intensity distribution；
By by corresponding to calibration particle a part of image it is associated with Gaussian function come recognize it is the multiple calibrate particle in
One calibration particle；
The intensity of the measurement calibration particle；With
The intensity of the calibration particle is based at least partially on to normalize the intensity of described image.
2. the method as described in claim 1, wherein first channel is reporting channel.
3. the method as described in claim 1, further comprises：
Multiple calibration particles are recognized, wherein the multiple calibration particle is distributed in multiple regions of the two dimensional image；With
And
The intensity of the multiple calibration particle is based at least partially on to normalize the intensity in the multiple region.
4. the method as described in claim 1, in addition to：The intensity for being based at least partially on the calibration particle is come in the second letter
The intensity of the second two dimensional image of the multiple particle is normalized in road.
5. method as claimed in claim 4, wherein the second channel is different from first channel, and wherein described the
Two channels are a classification channels.
6. the method as described in claim 1, wherein the intensity for measuring the calibration particle includes detecting the calibration particle
Peak value.
7. the method as described in claim 1, wherein the intensity for measuring the calibration particle is included in the calibration particle
Image-region around the heart is integrated.
8. the method as described in claim 1, wherein second fluorescent material is identical with first fluorescent material.
9. a kind of method for image normalization, including：
The two dimensional image of multiple particles is obtained in the first channel, wherein the multiple particle includes multiple calibration particles and multiple
Non-calibrated particle, the multiple calibration particle is with the inside distribution based on the first fluorescent material in first channel
Gaussian intensity profile, the multiple non-calibrated particle is with the outside distribution based on the second fluorescent material in first channel
In non-gaussian intensity distribution；
By by corresponding to calibration particle a part of image it is associated with Gaussian function come recognize it is the multiple calibrate particle in
One calibration particle；
The intensity of the measurement calibration particle；With
The intensity of the calibration particle is based at least partially on to adjust the brightness of described image.
10. method as claimed in claim 9, wherein first channel is reporting channel.
11. method as claimed in claim 9, further comprises：
Multiple calibration particles are recognized, wherein the multiple calibration particle is distributed in multiple regions of the two dimensional image；With
And
The intensity of the multiple calibration particle is based at least partially on to adjust the brightness in the multiple region.
12. method as claimed in claim 9, in addition to：The intensity for being based at least partially on the calibration particle is come second
The brightness of the second two dimensional image of the multiple particle is adjusted in channel.
13. method as claimed in claim 12, wherein the second channel is different from first channel, and it is wherein described
Second channel is a classification channel.
14. method as claimed in claim 9, wherein the intensity for measuring the calibration particle includes detecting the calibration particle
Peak value.
15. method as claimed in claim 9, wherein the intensity for measuring the calibration particle is included in the calibration particle
Image-region around the heart is integrated.
16. method as claimed in claim 9, is subtracted before being additionally included in the identification calibration particle from the two dimensional image
Background signal.
17. a kind of imaging device, including：
At least one processor；And
Imaging subsystems；
Wherein, the imaging subsystems are configured to：
In the imaging region that multiple particles are received to described device, the multiple particle includes calibration particle and non-calibrated grain
Son, the calibration particle has the Gaussian intensity profile in the first channel of the inside distribution based on the first fluorescent material, institute
Stating non-calibrated particle has the non-gaussian intensity point in first channel of the non-internal distribution based on the second fluorescent material
Cloth；
Light is provided and arrives the imaging region；And
The image of the multiple particle is captured in first channel；And
Wherein, at least one described processor is configured to：
By by corresponding to calibration particle a part of image it is associated with Gaussian function come recognize it is described calibrate particle in extremely
It is few one；
The intensity of the measurement calibration particle；With
The intensity of the calibration particle is based at least partially on to normalize the intensity of described image.
18. device as claimed in claim 17, wherein, will be related to Gaussian function corresponding to a part of image of calibration particle
Connection includes：With quadratic function come the approximate Gaussian function.
19. device as claimed in claim 17, wherein, the imaging subsystems include CCD-detector.
20. device as claimed in claim 17, wherein, at least one described processor is further configured to：
Recognize multiple calibration particles；
The intensity of the multiple calibration particle of measurement；And
The intensity of the multiple calibration particle is based at least partially on to normalize the intensity in corresponding multiple regions of described image.
21. device as claimed in claim 20, wherein, the multiple region is to be based on dividing the image into multiple regions
Grid.
22. device as claimed in claim 20, wherein, the multiple region is continuous multiple regions.
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| US201261660270P | 2012-06-15 | 2012-06-15 | |
| US61/660,270 | 2012-06-15 | ||
| PCT/US2013/046035 WO2013188857A2 (en) | 2012-06-15 | 2013-06-14 | Apparatus, system, and method for image normalization using a gaussian residual of fit selection criteria |
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| CN104541152A CN104541152A (en) | 2015-04-22 |
| CN104541152B true CN104541152B (en) | 2017-08-25 |
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| EP (1) | EP2861969B1 (en) |
| JP (1) | JP6105061B2 (en) |
| CN (1) | CN104541152B (en) |
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| WO (1) | WO2013188857A2 (en) |
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| JP6789227B2 (en) * | 2015-02-06 | 2020-11-25 | ライフ テクノロジーズ コーポレーション | Systems and methods for calibrating binding dyes |
| GB2571743A (en) * | 2018-03-07 | 2019-09-11 | Pop Bio Ltd | A method of capturing image data of a luminescent sample and apparatus for the same |
| CN110361304B (en) * | 2019-06-20 | 2021-10-01 | 南开大学 | Method for estimating contribution of different generation paths to secondary inorganic particles in particulate matter based on PMF3 model and AMS data |
| US20220136956A1 (en) * | 2020-10-30 | 2022-05-05 | Becton, Dickinson And Company | Method and systems for characterizing and encoding a light detection system |
| CN112504934B (en) * | 2020-11-23 | 2021-09-21 | 中国水利水电科学研究院 | Concrete dam seepage pressure prediction and monitoring threshold determination method |
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| Publication number | Publication date |
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| US20130336568A1 (en) | 2013-12-19 |
| WO2013188857A2 (en) | 2013-12-19 |
| JP2015523660A (en) | 2015-08-13 |
| EP2861969A4 (en) | 2016-03-09 |
| CN104541152A (en) | 2015-04-22 |
| US9984279B2 (en) | 2018-05-29 |
| EP2861969B1 (en) | 2022-08-03 |
| CA2876903A1 (en) | 2013-12-19 |
| JP6105061B2 (en) | 2017-03-29 |
| US10733418B2 (en) | 2020-08-04 |
| HK1209482A1 (en) | 2016-04-01 |
| US20180268191A1 (en) | 2018-09-20 |
| EP2861969A2 (en) | 2015-04-22 |
| CA2876903C (en) | 2020-07-14 |
| US20160232396A1 (en) | 2016-08-11 |
| US9245169B2 (en) | 2016-01-26 |
| WO2013188857A3 (en) | 2014-02-13 |
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